Pave vs CompUp
Two of fourteen models named Pave first on the direct prompt; two named CompUp. Pave was named by thirteen of the fourteen models and CompUp by eight and Pave carries 34 labels and CompUp 14, so the shares are not directly comparable.
Named in six categories this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the compensation management page.
By framing
PaveFirst choices, of fourteen modelsCompUp
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | | | | |
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | |
Pave CompUp first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pave on the left and CompUp on the right.The direct prompt
Pave first, CompUp not the choice
2 of 14 modelsCompUp was named in the answer but not as the choice, or not at all.CompUp first, Pave not the choice
2 of 14 modelsPave was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
What the models said about Pave
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“These are generally considered "comp-only" tools and are better suited for companies with fewer than 1,000 employees.” Mistral Small · negative prompt · soft negative
“Pave (Best for Modern B2B & Tech Companies) ... Mid-market companies find the sweet spot in platforms like CaptivateIQ (for sales) and Pave or HiBob” Gemini 3.5 Flash · direct prompt · first choice
“If you need real-time tech benchmarking and want to heavily recruit with transparent visual equity breakdowns, Pave is a frontrunner.” Gemini 3.5 Flash · comparative prompt · first choice
“Best for: real-time market pricing + modern comp planning ... Best for modern comp teams wanting speed and analytics: Pave” GPT-5.4 mini · comparative prompt · first choice
What the models said about CompUp
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“CompUp appears particularly well-suited for mid-market and enterprise organizations running complex, multi-country compensation cycles.” MiniMax M2.5 · direct prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.